Machine Learning Engineer
Austin, TX · On-site
The role involves developing and optimizing machine learning models, managing large-scale datasets ... Develop efficient workflows for training, validation, and testing, incorporating distributed ...
Machine Learning Engineer
Austin, TX · On-site
The role involves developing and optimizing machine learning models, managing large-scale datasets ... Develop efficient workflows for training, validation, and testing, incorporating distributed ...
Machine Learning Engineer
San Antonio, TX · On-site
The Machine Learning (ML) Engineer, with an interest in a variety of disciplines, will strive to ... I. sub-systems and integrate them with the model training and deployment platform Qualifications ...
Machine Learning Engineer
San Antonio, TX · On-site
The Machine Learning (ML) Engineer, with an interest in a variety of disciplines, will strive to ... I. sub-systems and integrate them with the model training and deployment platform Qualifications ...
Machine Learning Engineer
Frisco, TX · On-site
Apply MLOps best practices for training, evaluation, deployment, and monitoring of production grade ... Contribute to our machine learning repositories and optimize models for performance, scalability ...
Machine Learning Engineer
Frisco, TX · On-site
Apply MLOps best practices for training, evaluation, deployment, and monitoring of production grade ... Contribute to our machine learning repositories and optimize models for performance, scalability ...
Machine Learning Developer
Dallas, TX · On-site
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Design and maintain automated CI/CD pipelines for model training, deployment, and controlled ...
Machine Learning Developer
Dallas, TX · On-site
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Design and maintain automated CI/CD pipelines for model training, deployment, and controlled ...
Machine Learning Developer
Dallas, TX · On-site
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Design and maintain automated CI/CD pipelines for model training, deployment, and controlled ...
Machine Learning Developer
Dallas, TX · On-site
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Design and maintain automated CI/CD pipelines for model training, deployment, and controlled ...
Machine Learning Developer
Dallas, TX · On-site
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Design and maintain automated CI/CD pipelines for model training, deployment, and controlled ...
Machine Learning Developer
Dallas, TX · On-site
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Design and maintain automated CI/CD pipelines for model training, deployment, and controlled ...
Machine Learning Developer
Dallas, TX · On-site
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Design and maintain automated CI/CD pipelines for model training, deployment, and controlled ...
Machine Learning Developer
Dallas, TX · On-site
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Design and maintain automated CI/CD pipelines for model training, deployment, and controlled ...
Machine Learning Engineer
Austin, TX · On-site
$199K - $331K/yr
About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... education or training. We also believe in aligning our employees' success with the company ...
Machine Learning Engineer
Austin, TX · On-site
$199K - $331K/yr
About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... education or training. We also believe in aligning our employees' success with the company ...
Machine Learning Expert
Houston, TX · On-site
We are looking for a motivated individual to fill the position of Machine Learning Expert within ... Proficiency in Python and hands-on experience with PyTorch, including training, validation, and ...
New
Machine Learning Expert
Houston, TX · On-site
We are looking for a motivated individual to fill the position of Machine Learning Expert within ... Proficiency in Python and hands-on experience with PyTorch, including training, validation, and ...
New
Machine Learning Engineer
Plano, TX · Remote
$140K - $185K/yr
The Machine Learning Engineer will have deep expertise in healthcare and pharmacy data. The focus ... Develop robust end-to-end ML systems, including data ingestion, feature engineering, model training ...
New
Machine Learning Engineer
Plano, TX · Remote
$140K - $185K/yr
The Machine Learning Engineer will have deep expertise in healthcare and pharmacy data. The focus ... Develop robust end-to-end ML systems, including data ingestion, feature engineering, model training ...
New
Machine Learning Engineer
Frisco, TX · On-site
Apply MLOps best practices for training, evaluation, deployment, and monitoring of production grade ... Contribute to our machine learning repositories and optimize models for performance, scalability ...
Machine Learning Engineer
Frisco, TX · On-site
Apply MLOps best practices for training, evaluation, deployment, and monitoring of production grade ... Contribute to our machine learning repositories and optimize models for performance, scalability ...
Machine Learning Engineer
Frisco, TX · On-site
Apply MLOps best practices for training, evaluation, deployment, and monitoring of production grade ... Contribute to our machine learning repositories and optimize models for performance, scalability ...
Machine Learning Engineer
Frisco, TX · On-site
Apply MLOps best practices for training, evaluation, deployment, and monitoring of production grade ... Contribute to our machine learning repositories and optimize models for performance, scalability ...
Machine Learning Engineer II
Irving, TX · On-site
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps. * Experience building, training, validating, and deploying machine learning ...
Machine Learning Engineer II
Irving, TX · On-site
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps. * Experience building, training, validating, and deploying machine learning ...
Machine Learning Engineer II
Irving, TX · On-site
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps. * Experience building, training, validating, and deploying machine learning ...
Machine Learning Engineer II
Irving, TX · On-site
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps. * Experience building, training, validating, and deploying machine learning ...
Machine Learning Engineer II
Irving, TX · On-site
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps. * Experience building, training, validating, and deploying machine learning ...
Machine Learning Engineer II
Irving, TX · On-site
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps. * Experience building, training, validating, and deploying machine learning ...
Machine Learning Engineer II
Irving, TX · On-site
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps. * Experience building, training, validating, and deploying machine learning ...
Machine Learning Engineer II
Irving, TX · On-site
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps. * Experience building, training, validating, and deploying machine learning ...
Machine Learning Engineer II
Irving, TX · On-site
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps. * Experience building, training, validating, and deploying machine learning ...
Machine Learning Engineer II
Irving, TX · On-site
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps. * Experience building, training, validating, and deploying machine learning ...
Machine Learning Engineer II
Irving, TX · On-site
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps. * Experience building, training, validating, and deploying machine learning ...
Machine Learning Engineer II
Irving, TX · On-site
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps. * Experience building, training, validating, and deploying machine learning ...
Machine Learning Engineer
Austin, TX · On-site
... training, evaluation, and inference for machine learning models, collaborating with data scientists to productionalize models into scalable applications Write clean, maintainable, and well-tested ...
Machine Learning Engineer
Austin, TX · On-site
... training, evaluation, and inference for machine learning models, collaborating with data scientists to productionalize models into scalable applications Write clean, maintainable, and well-tested ...
Machine Learning Developer
Dallas, TX · On-site
$115K - $140K/yr
Job Title: Machine Learning Developer Location (city, state): Dallas, Texas - onstie 5x a week ... Create automated CI/CD processes for model training, deployment, testing, and promotion between ...
Machine Learning Developer
Dallas, TX · On-site
$115K - $140K/yr
Job Title: Machine Learning Developer Location (city, state): Dallas, Texas - onstie 5x a week ... Create automated CI/CD processes for model training, deployment, testing, and promotion between ...
Freelance Machine Learning Trainer information
What is the difference between Freelance Machine Learning Trainer vs Data Scientist?
| Aspect | Freelance Machine Learning Trainer | Data Scientist |
|---|---|---|
| Credentials | Typically requires a background in machine learning, data analysis, and certifications in relevant tools or programming languages | Requires a degree in data science, statistics, or related fields; often holds advanced degrees and certifications |
| Work Environment | Independent, project-based, often remote or onsite training sessions | Usually employed by companies or consulting firms, working on data analysis projects |
| Industry Usage | Used in education, corporate training, and freelance consulting | Applied in tech, finance, healthcare, and other data-driven industries |
While both roles involve working with machine learning, a Freelance Machine Learning Trainer focuses on educating others through training sessions and workshops, often independently. In contrast, a Data Scientist analyzes data to derive insights and build models within organizations. The roles differ mainly in their focus—training versus data analysis—and work environment.
What are the most commonly searched types of Machine Learning Trainer jobs in Texas?
The most popular types of Machine Learning Trainer jobs in Texas are:
What are popular job titles related to Freelance Machine Learning Trainer jobs in Texas?
For Freelance Machine Learning Trainer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Freelance Machine Learning Trainer jobs in Texas look for?
The top searched job categories for Freelance Machine Learning Trainer jobs in Texas are:
- Machine Operator Sanitation
- Freelance Machine Learning Engineer
- Urgently Hiring Machine Learning Neuroscience
- Take Off Operator
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- Seasonal Medical Imaging Machine Learning
- Overnight Glass Cutting Machine Operator
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- Fly In Fly Out Operator
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What cities in Texas are hiring for Freelance Machine Learning Trainer jobs?
Cities in Texas with the most Freelance Machine Learning Trainer job openings:
Machine Learning Engineer
Austin, TX • On-site
Avride
Full-time
Re-posted 22 days ago
Job description
Job Summary:
Avride develops autonomous vehicle and delivery robot technology, and they are seeking an experienced Machine Learning Engineer to enhance their autonomous systems. The role involves developing and optimizing machine learning models, managing large-scale datasets, and collaborating with cross-functional teams to integrate solutions into real-world applications.
Responsibilities:
• Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ensure efficiency, scalability, and robustness. This may include developing models for understanding a self-driving vehicle’s surroundings or predicting the intentions of other road users.
• Curate and Manage Large-Scale Datasets: Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for training and evaluation.
• Enhance and Maintain Training Pipelines: Develop efficient workflows for training, validation, and testing, incorporating distributed training, hyperparameter tuning, and automated monitoring.
• Improve Model Deployment and Efficiency: Optimize inference performance, model compression, and deployment across various hardware platforms.
• Explore and Apply Cutting-Edge ML Techniques: Stay up to date with advancements in deep learning and experiment with novel approaches to improve model performance.
• Collaborate with Cross-Functional Teams: Work closely with researchers, software engineers, and robotics experts to integrate machine learning solutions into real-world autonomous systems.
Qualifications:
Required:
• Strong understanding of fundamental machine learning algorithms and neural network techniques.
• Expertise in at least one modern machine learning domain, such as computer vision, large language models, or generative AI.
• At least three years of experience developing neural network-based algorithms, including data collection, training, and deployment.
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, along with PySpark, NumPy, and SciPy.
• Working knowledge of C++ and SQL.
• Ability to quickly absorb new concepts by reviewing research papers, technical reports, and documentation.
• Strong collaboration and communication skills, with the ability to align technical work with business objectives and drive results.
Preferred:
• Advanced degree in Computer Science, Machine Learning, Robotics, or a related field.
• Experience developing ML algorithms for autonomous vehicles or robotics applications.
• Familiarity with neural network deployment and optimization tools such as triton, TensorRT, or similar frameworks.
• Proven ability to set and achieve mid- and long-term goals, prioritize tasks, and meet deadlines independently.
• Experience working in cross-functional teams within a multidisciplinary environment.
• Publications in top-tier ML conferences or contributions to patent applications or ML-related open-source projects.
Company:
Avride is a developer and operator of autonomous vehicles and delivery robots. Founded in 2017, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.
Avride develops autonomous vehicle and delivery robot technology, and they are seeking an experienced Machine Learning Engineer to enhance their autonomous systems. The role involves developing and optimizing machine learning models, managing large-scale datasets, and collaborating with cross-functional teams to integrate solutions into real-world applications.
Responsibilities:
• Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ensure efficiency, scalability, and robustness. This may include developing models for understanding a self-driving vehicle’s surroundings or predicting the intentions of other road users.
• Curate and Manage Large-Scale Datasets: Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for training and evaluation.
• Enhance and Maintain Training Pipelines: Develop efficient workflows for training, validation, and testing, incorporating distributed training, hyperparameter tuning, and automated monitoring.
• Improve Model Deployment and Efficiency: Optimize inference performance, model compression, and deployment across various hardware platforms.
• Explore and Apply Cutting-Edge ML Techniques: Stay up to date with advancements in deep learning and experiment with novel approaches to improve model performance.
• Collaborate with Cross-Functional Teams: Work closely with researchers, software engineers, and robotics experts to integrate machine learning solutions into real-world autonomous systems.
Qualifications:
Required:
• Strong understanding of fundamental machine learning algorithms and neural network techniques.
• Expertise in at least one modern machine learning domain, such as computer vision, large language models, or generative AI.
• At least three years of experience developing neural network-based algorithms, including data collection, training, and deployment.
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, along with PySpark, NumPy, and SciPy.
• Working knowledge of C++ and SQL.
• Ability to quickly absorb new concepts by reviewing research papers, technical reports, and documentation.
• Strong collaboration and communication skills, with the ability to align technical work with business objectives and drive results.
Preferred:
• Advanced degree in Computer Science, Machine Learning, Robotics, or a related field.
• Experience developing ML algorithms for autonomous vehicles or robotics applications.
• Familiarity with neural network deployment and optimization tools such as triton, TensorRT, or similar frameworks.
• Proven ability to set and achieve mid- and long-term goals, prioritize tasks, and meet deadlines independently.
• Experience working in cross-functional teams within a multidisciplinary environment.
• Publications in top-tier ML conferences or contributions to patent applications or ML-related open-source projects.
Company:
Avride is a developer and operator of autonomous vehicles and delivery robots. Founded in 2017, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.